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@j-min
j-min / test_single_gpu.py
Created Nov 6, 2016
TensorFlow single GPU example
View test_single_gpu.py
from __future__ import print_function
'''
Basic Multi GPU computation example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''
'''
This tutorial requires your machine to have 1 GPU
"/cpu:0": The CPU of your machine.
@j-min
j-min / CaffeInstallation.md
Created Sep 24, 2019 — forked from arundasan91/CaffeInstallation.md
Caffe Installation Tutorial for beginners
View CaffeInstallation.md

Caffe

Freshly brewed !

With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.

Installation Instructions (Ubuntu 14 Trusty)

The following section is divided in to two parts. Caffe's documentation suggest

@j-min
j-min / korail_example.py
Last active Sep 15, 2019
Korean express train ticket reservation example
View korail_example.py
# pip install korail2
# https://github.com/carpedm20/korail2
from korail2 import Korail, NoResultsError, KorailError
from time import sleep
import os
# Login
EMAIL = '' # email
PW = '' # password
@j-min
j-min / download_video.py
Created Jul 1, 2019
Youtube Video Download & Trim
View download_video.py
# https://github.com/mps-youtube/pafy
import pafy
if __name__ == '__main__':
video_url = 'https://www.youtube.com/watch?v=D_Ij3fAps4s'
video = pafy.new(video_url)
print(video.title, video.duration)
best = video.getbest()
best.download(quiet=False)
@j-min
j-min / .vimrc
Last active Apr 28, 2019
vimrc plugin settings for Python / JavaScript
View .vimrc
set nocompatible " required
" filetype off " required
syntax on
syntax enable
" Monokai color scheme
" mkdir -p ~/.vim/colors
" wget https://raw.githubusercontent.com/crusoexia/vim-monokai/master/colors/monokai.vim ~/.vim/colors
colorscheme monokai
@j-min
j-min / RNN_hunkim's_tutorial_BasicRNNCell.ipynb
Last active Dec 11, 2018
TensorFlow 0.9 implementation of BasicRNNCell based on hunkim's tutorial
View RNN_hunkim's_tutorial_BasicRNNCell.ipynb
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@j-min
j-min / test_multi_gpu.py
Last active Nov 28, 2018
TensorFlow multi GPU example
View test_multi_gpu.py
from __future__ import print_function
'''
Basic Multi GPU computation example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''
'''
This tutorial requires your machine to have 2 GPUs
"/cpu:0": The CPU of your machine.
@j-min
j-min / backprop.ipynb
Created Mar 1, 2017
Simple backprop implementation in TensorFlow without its optimizer API
View backprop.ipynb
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@j-min
j-min / exp_lr_scheduler.py
Created Jun 25, 2017
learning rate decay in pytorch
View exp_lr_scheduler.py
# http://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html
def exp_lr_scheduler(optimizer, epoch, init_lr=0.001, lr_decay_epoch=7):
"""Decay learning rate by a factor of 0.1 every lr_decay_epoch epochs."""
lr = init_lr * (0.1**(epoch // lr_decay_epoch))
if epoch % lr_decay_epoch == 0:
print('LR is set to {}'.format(lr))
for param_group in optimizer.param_groups:
View tensorboard_inline.py
from IPython.display import clear_output, Image, display, HTML
import numpy as np
def strip_consts(graph_def, max_const_size=32):
"""Strip large constant values from graph_def."""
strip_def = tf.GraphDef()
for n0 in graph_def.node:
n = strip_def.node.add()
n.MergeFrom(n0)
if n.op == 'Const':
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